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Phased-Consistency-Model
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Phased-Consistency-Model

[NeurIPS 2024] Boosting the performance of consistency models with PCM!

by G-U-N · GitHub
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consistency-modelsdiffusion-modelsApache-2.0Python
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In plain words

Improve the performance of image generation models with a new method that enhances consistency in results.

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2026-07-202026-08-31
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[NeurIPS 2024] Boosting the performance of consistency models with PCM!

Phased-Consistency-Model has 521 stars on GitHub. It has been forked 19 times. Phased-Consistency-Model is written mainly in Python. It has been in active development since 2024. Phased-Consistency-Model is available under the Apache-2.0 license. Its main topics are consistency-models, diffusion-models.

Frequently asked questions

What is Phased-Consistency-Model?

[NeurIPS 2024] Boosting the performance of consistency models with PCM!

Is Phased-Consistency-Model open source?

Phased-Consistency-Model is an open-source project. It is released under the Apache-2.0 license.

Is Phased-Consistency-Model free?

Yes. Phased-Consistency-Model is free and open source — you can use, modify and self-host it.

What license does Phased-Consistency-Model use?

Phased-Consistency-Model is available under the Apache-2.0 license.

What language is Phased-Consistency-Model written in?

Phased-Consistency-Model is written mainly in Python.

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